title |
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About fine-tuned foundation models in {{ ml-platform-full-name }} |
Foundation model tuning is at the Preview stage.
{{ ml-platform-full-name }} allows you to tune foundation models on your own examples to make them more tailored to your specific needs. Tuning is based on the Fine-tuning method. You can send requests to a fine-tuned model through the {{ ml-platform-name }} Playground interface or through the API using code.
{% note warning %}
Foundation model tuning in {{ ml-platform-name }} is not available as of December 9, 2024. Previously tuned models will no longer be supported along with their base models in accordance with their life cycle.
Use the {{ foundation-models-full-name }} tools to tune models.
{% endnote %}
The following information is stored about each fine-tuned model:
- Name and description.
- Status.
- Foundation model.
- Learning rate.
- Name of the user who tuned the model.
- Data required for tuning.
- Model tuning date in UTC format, e.g.,
November 2, 2023, 17:39
.
To get information about models tuned in a project:
- {% include find project %}
- In the list of available project resources, select {{ ui-key.yc-ui-datasphere.common.models }}.
- In the {{ ui-key.yc-ui-datasphere.common.projects-resources }} tab, select {{ ui-key.yc-ui-datasphere.common.tuned-foundation-models }}.
A fine-tuned model is a project resource. A community administrator can share fine-tuned models with other community projects by granting access to them in the {{ ui-key.yc-ui-datasphere.common.access }} tab on the model viewing page.